Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area

Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area

ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved...

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Bibliographic Details
Main Authors: Martin Meier, Eliana de Souza, Marcio Rocha Francelino, Elpídio Inácio Fernandes Filho, Carlos Ernesto Gonçalves Reynaud Schaefer
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2018-11-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
soil classification
machine learning
pedometrics
land use planning
agrarian reform
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100313&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100313&lng=en&tlng=en

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